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Learner Reviews & Feedback for Applied AI with DeepLearning by IBM

1,047 ratings
179 reviews

About the Course

>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<< This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. We’ll learn about the fundamentals of Linear Algebra and Neural Networks. Then we introduce the most popular DeepLearning Frameworks like Keras, TensorFlow, PyTorch, DeepLearning4J and Apache SystemML. Keras and TensorFlow are making up the greatest portion of this course. We learn about Anomaly Detection, Time Series Forecasting, Image Recognition and Natural Language Processing by building up models using Keras on real-life examples from IoT (Internet of Things), Financial Marked Data, Literature or Image Databases. Finally, we learn how to scale those artificial brains using Kubernetes, Apache Spark and GPUs. IMPORTANT: THIS COURSE ALONE IS NOT SUFFICIENT TO OBTAIN THE "IBM Watson IoT Certified Data Scientist certificate". You need to take three other courses where two of them are currently built. The Specialization will be ready late spring, early summer 2018 Using these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give your ideas for turbocharging successful creation and deployment of DeepLearning models. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide. Prerequisites: Some coding skills are necessary. Preferably python, but any other programming language will do fine. Also some basic understanding of math (linear algebra) is a plus, but we will cover that part in the first week as well. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link

Top reviews

Oct 23, 2020

I learned many things from this course. However, I think in some points it could have been instructed much better. But all in all, it is a very worthy course for the price offered. Thanks a lot!

Apr 25, 2018

It was really great learning with coursera and I loved the course. The way faculty teaches here is just awesome as they are very much clear and helped a lot while learning this coursea

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76 - 100 of 181 Reviews for Applied AI with DeepLearning

By Johannes C

Jun 12, 2020

This was in all an excellent course!


May 7, 2020

One of the toughest and best program

By Reynier H

Sep 19, 2019

Curso bem completo e bem explicado!

By Azeezur R

Oct 19, 2018

Excellent way of teaching concepts

By Neeraj k

Jun 28, 2019

best method for understanding

By Kylie T

Jul 7, 2019

Very well organized course


Dec 29, 2019

It is an amazing course!

By Julien P

Sep 25, 2019

Very nice and complete.

By Alfred D

May 7, 2020

This is a great course

By Dan R

May 4, 2020

Informative sessions.

By Fernando C

Mar 2, 2019

The course is great!

By Ayesha S

Feb 22, 2019

It boosted my skills


Jul 29, 2018

Awesome knowledge !!

By Fernando P

Oct 29, 2020

Very interesting!!

By Soumyajit D

Oct 1, 2020

very good, awesome


May 2, 2020

wonderful course

By Madan T

Dec 11, 2019

Excellent Course

By Dr P R K

Oct 18, 2019

excellent course

By Joseph A

Nov 3, 2021

G​ood quality!

By Deleted A

Jun 5, 2018

amazing course

By Vishal G

May 7, 2020

Its awesome,

By Gustavo H M d C

Nov 5, 2019

Very good!!!

By Freddy Y

Jun 6, 2019

great course


Feb 2, 2020

good course

By Jeff D

Jan 31, 2021